Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study
- Fox, Ervin, Young, J. Hunter, Li, Yali, Dreisbach, Albert, Charchar, Fadi
- Authors: Fox, Ervin , Young, J. Hunter , Li, Yali , Dreisbach, Albert , Charchar, Fadi
- Date: 2011
- Type: Text , Journal article
- Relation: Human molecular genetics Vol. 20, no. 11 (June 2011), p. 2273
- Full Text:
- Reviewed:
- Description: The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 × 10−8) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 × 10−8). The top IBC association for SBP was rs2012318 (P= 6.4 × 10−6) near SLC25A42 and for DBP was rs2523586 (P= 1.3 × 10−6) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.
- Authors: Fox, Ervin , Young, J. Hunter , Li, Yali , Dreisbach, Albert , Charchar, Fadi
- Date: 2011
- Type: Text , Journal article
- Relation: Human molecular genetics Vol. 20, no. 11 (June 2011), p. 2273
- Full Text:
- Reviewed:
- Description: The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 × 10−8) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 × 10−8). The top IBC association for SBP was rs2012318 (P= 6.4 × 10−6) near SLC25A42 and for DBP was rs2523586 (P= 1.3 × 10−6) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.
Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics
- Rowland, Joshua, Akbarov, Artur, Eales, James, Xu, Xiaoguang, Dormer, John, Guo, Hui, Denniff, Matthew, Jiang, Xiao, Ranjzad, Parisa, Nazgiewicz, Alicja, Prestes, Priscilla, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Zukowska-Szczechowska, Ewa, Bogdanski, Pawel, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej
- Authors: Rowland, Joshua , Akbarov, Artur , Eales, James , Xu, Xiaoguang , Dormer, John , Guo, Hui , Denniff, Matthew , Jiang, Xiao , Ranjzad, Parisa , Nazgiewicz, Alicja , Prestes, Priscilla , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Zukowska-Szczechowska, Ewa , Bogdanski, Pawel , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2019
- Type: Text , Journal article
- Relation: Kidney International Vol. 95, no. 3 (2019), p. 624-635
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- Reviewed:
- Description: Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
- Authors: Rowland, Joshua , Akbarov, Artur , Eales, James , Xu, Xiaoguang , Dormer, John , Guo, Hui , Denniff, Matthew , Jiang, Xiao , Ranjzad, Parisa , Nazgiewicz, Alicja , Prestes, Priscilla , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Zukowska-Szczechowska, Ewa , Bogdanski, Pawel , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2019
- Type: Text , Journal article
- Relation: Kidney International Vol. 95, no. 3 (2019), p. 624-635
- Full Text:
- Reviewed:
- Description: Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
- Surendran, Praveen, Feofanova, Elena, Lahrouchi, Najim, Ntalla, Ionna, Karthikeyan, Savita, Cook, James, Chen, Lingyan, Mifsud, Borbala, Yao, Chen, Kraja, Aldi, Cartwright, James, Hellwege, Jacklyn, Giri, Ayush, Tragante, Vinicius, Thorleifsson, Gudmar, Liu, Dajiang, Prins, Bram, Stewart, Isobel, Cabrera, Claude, Eales, James, Akbarov, Artur, Auer, Paul, Charchar, Fadi, Howson, Joanna, LifeLines Cohort, Study, Epic, C. V. D., Epic InterAct, Understanding Society Scientific, Group, Million Veteran, Program
- Authors: Surendran, Praveen , Feofanova, Elena , Lahrouchi, Najim , Ntalla, Ionna , Karthikeyan, Savita , Cook, James , Chen, Lingyan , Mifsud, Borbala , Yao, Chen , Kraja, Aldi , Cartwright, James , Hellwege, Jacklyn , Giri, Ayush , Tragante, Vinicius , Thorleifsson, Gudmar , Liu, Dajiang , Prins, Bram , Stewart, Isobel , Cabrera, Claude , Eales, James , Akbarov, Artur , Auer, Paul , Charchar, Fadi , Howson, Joanna , LifeLines Cohort, Study , Epic, C. V. D. , Epic InterAct , Understanding Society Scientific, Group , Million Veteran, Program
- Date: 2020
- Type: Text , Journal article
- Relation: Nature Genetics Vol. 52, no. 12 (2020), p. 1314-1332
- Full Text:
- Reviewed:
- Description: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. There are 286 authors of this articles not all are listed in this record.
- Authors: Surendran, Praveen , Feofanova, Elena , Lahrouchi, Najim , Ntalla, Ionna , Karthikeyan, Savita , Cook, James , Chen, Lingyan , Mifsud, Borbala , Yao, Chen , Kraja, Aldi , Cartwright, James , Hellwege, Jacklyn , Giri, Ayush , Tragante, Vinicius , Thorleifsson, Gudmar , Liu, Dajiang , Prins, Bram , Stewart, Isobel , Cabrera, Claude , Eales, James , Akbarov, Artur , Auer, Paul , Charchar, Fadi , Howson, Joanna , LifeLines Cohort, Study , Epic, C. V. D. , Epic InterAct , Understanding Society Scientific, Group , Million Veteran, Program
- Date: 2020
- Type: Text , Journal article
- Relation: Nature Genetics Vol. 52, no. 12 (2020), p. 1314-1332
- Full Text:
- Reviewed:
- Description: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. There are 286 authors of this articles not all are listed in this record.
Kidney omics in hypertension: from statistical associations to biological mechanisms and clinical applications
- Tomaszewski, Maciej, Morris, Andrew, Howson, Joanna, Franceschini, Nora, Eales, James, Xu, Xiaoguang, Dikalov, Sergey, Guzik, Tomasz, Humphreys, Benjamin, Harrap, Stephen, Charchar, Fadi
- Authors: Tomaszewski, Maciej , Morris, Andrew , Howson, Joanna , Franceschini, Nora , Eales, James , Xu, Xiaoguang , Dikalov, Sergey , Guzik, Tomasz , Humphreys, Benjamin , Harrap, Stephen , Charchar, Fadi
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Kidney International Vol. 102, no. 3 (2022), p. 492-505
- Full Text:
- Reviewed:
- Description: Hypertension is a major cardiovascular disease risk factor and contributor to premature death globally. Family-based investigations confirmed a significant heritable component of blood pressure (BP), whereas genome-wide association studies revealed >1000 common and rare genetic variants associated with BP and/or hypertension. The kidney is not only an organ of key relevance to BP regulation and the development of hypertension, but it also acts as the tissue mediator of genetic predisposition to hypertension. The identity of kidney genes, pathways, and related mechanisms underlying the genetic associations with BP has started to emerge through integration of genomics with kidney transcriptomics, epigenomics, and other omics as well as through applications of causal inference, such as Mendelian randomization. Single-cell methods further enabled mapping of BP-associated kidney genes to cell types, and in conjunction with other omics, started to illuminate the biological mechanisms underpinning associations of BP-associated genetic variants and kidney genes. Polygenic risk scores derived from genome-wide association studies and refined on kidney omics hold the promise of enhanced diagnostic prediction, whereas kidney omics-informed drug discovery is likely to contribute new therapeutic opportunities for hypertension and hypertension-mediated kidney damage. © 2022 International Society of Nephrology
- Authors: Tomaszewski, Maciej , Morris, Andrew , Howson, Joanna , Franceschini, Nora , Eales, James , Xu, Xiaoguang , Dikalov, Sergey , Guzik, Tomasz , Humphreys, Benjamin , Harrap, Stephen , Charchar, Fadi
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Kidney International Vol. 102, no. 3 (2022), p. 492-505
- Full Text:
- Reviewed:
- Description: Hypertension is a major cardiovascular disease risk factor and contributor to premature death globally. Family-based investigations confirmed a significant heritable component of blood pressure (BP), whereas genome-wide association studies revealed >1000 common and rare genetic variants associated with BP and/or hypertension. The kidney is not only an organ of key relevance to BP regulation and the development of hypertension, but it also acts as the tissue mediator of genetic predisposition to hypertension. The identity of kidney genes, pathways, and related mechanisms underlying the genetic associations with BP has started to emerge through integration of genomics with kidney transcriptomics, epigenomics, and other omics as well as through applications of causal inference, such as Mendelian randomization. Single-cell methods further enabled mapping of BP-associated kidney genes to cell types, and in conjunction with other omics, started to illuminate the biological mechanisms underpinning associations of BP-associated genetic variants and kidney genes. Polygenic risk scores derived from genome-wide association studies and refined on kidney omics hold the promise of enhanced diagnostic prediction, whereas kidney omics-informed drug discovery is likely to contribute new therapeutic opportunities for hypertension and hypertension-mediated kidney damage. © 2022 International Society of Nephrology
DMD-associated dilated cardiomyopathy : genotypes, phenotypes, and phenocopies
- Johnson, Renee, Otway, Robyn, Chin, Ephrem, Horvat, Claire, Ohanian, Monique, Wilcox, Jon, Su, Zheng, Prestes, Priscilla, Smolnikov, Andrei, Soka, Magdalena, Guo, Guanglan, Rath, Emma, Chakravorty, Samya, Chrzanowski, Lukasz, Hayward, Christopher, Keogh, Anne, MacDonald, Peter, Giannoulatou, Eleni, Chang, Alex, Oates, Emily, Charchar, Fadi, Seidman, Jonathan, Seidman, Christine, Hegde, Madhuri, Fatkin, Diane
- Authors: Johnson, Renee , Otway, Robyn , Chin, Ephrem , Horvat, Claire , Ohanian, Monique , Wilcox, Jon , Su, Zheng , Prestes, Priscilla , Smolnikov, Andrei , Soka, Magdalena , Guo, Guanglan , Rath, Emma , Chakravorty, Samya , Chrzanowski, Lukasz , Hayward, Christopher , Keogh, Anne , MacDonald, Peter , Giannoulatou, Eleni , Chang, Alex , Oates, Emily , Charchar, Fadi , Seidman, Jonathan , Seidman, Christine , Hegde, Madhuri , Fatkin, Diane
- Date: 2023
- Type: Text , Journal article
- Relation: Circulation: Genomic and Precision Medicine Vol. 16, no. 5 (2023), p. 421-430
- Full Text:
- Reviewed:
- Description: Background: Variants in the DMD gene, that encodes the cytoskeletal protein, dystrophin, cause a severe form of dilated cardiomyopathy (DCM) associated with high rates of heart failure, heart transplantation, and ventricular arrhythmias. Improved early detection of individuals at risk is needed. Methods: Genetic testing of 40 male probands with a potential X-linked genetic cause of primary DCM was undertaken using multi-gene panel sequencing, multiplex polymerase chain reaction, and array comparative genomic hybridization. Variant location was assessed with respect to dystrophin isoform patterns and exon usage. Telomere length was evaluated as a marker of myocardial dysfunction in left ventricular tissue and blood. Results: Four pathogenic/likely pathogenic DMD variants were found in 5 probands (5/40: 12.5%). Only one rare variant was identified by gene panel testing with 3 additional multi-exon deletion/duplications found following targeted assays for structural variants. All of the pathogenic/likely pathogenic DMD variants involved dystrophin exons that had percent spliced-in scores >90, indicating high levels of constitutive expression in the human adult heart. Fifteen DMD variant-negative probands (15/40: 37.5%) had variants in autosomal genes including TTN, BAG3, LMNA, and RBM20. Myocardial telomere length was reduced in patients with DCM irrespective of genotype. No differences in blood telomere length were observed between genotype-positive family members with/without DCM and controls. Conclusions: Primary genetic testing using multi-gene panels has a low yield and specific assays for structural variants are required if DMD-associated cardiomyopathy is suspected. Distinguishing X-linked causes of DCM from autosomal genes that show sex differences in clinical presentation is crucial for informed family management. © 2023 American Heart Association, Inc.
- Authors: Johnson, Renee , Otway, Robyn , Chin, Ephrem , Horvat, Claire , Ohanian, Monique , Wilcox, Jon , Su, Zheng , Prestes, Priscilla , Smolnikov, Andrei , Soka, Magdalena , Guo, Guanglan , Rath, Emma , Chakravorty, Samya , Chrzanowski, Lukasz , Hayward, Christopher , Keogh, Anne , MacDonald, Peter , Giannoulatou, Eleni , Chang, Alex , Oates, Emily , Charchar, Fadi , Seidman, Jonathan , Seidman, Christine , Hegde, Madhuri , Fatkin, Diane
- Date: 2023
- Type: Text , Journal article
- Relation: Circulation: Genomic and Precision Medicine Vol. 16, no. 5 (2023), p. 421-430
- Full Text:
- Reviewed:
- Description: Background: Variants in the DMD gene, that encodes the cytoskeletal protein, dystrophin, cause a severe form of dilated cardiomyopathy (DCM) associated with high rates of heart failure, heart transplantation, and ventricular arrhythmias. Improved early detection of individuals at risk is needed. Methods: Genetic testing of 40 male probands with a potential X-linked genetic cause of primary DCM was undertaken using multi-gene panel sequencing, multiplex polymerase chain reaction, and array comparative genomic hybridization. Variant location was assessed with respect to dystrophin isoform patterns and exon usage. Telomere length was evaluated as a marker of myocardial dysfunction in left ventricular tissue and blood. Results: Four pathogenic/likely pathogenic DMD variants were found in 5 probands (5/40: 12.5%). Only one rare variant was identified by gene panel testing with 3 additional multi-exon deletion/duplications found following targeted assays for structural variants. All of the pathogenic/likely pathogenic DMD variants involved dystrophin exons that had percent spliced-in scores >90, indicating high levels of constitutive expression in the human adult heart. Fifteen DMD variant-negative probands (15/40: 37.5%) had variants in autosomal genes including TTN, BAG3, LMNA, and RBM20. Myocardial telomere length was reduced in patients with DCM irrespective of genotype. No differences in blood telomere length were observed between genotype-positive family members with/without DCM and controls. Conclusions: Primary genetic testing using multi-gene panels has a low yield and specific assays for structural variants are required if DMD-associated cardiomyopathy is suspected. Distinguishing X-linked causes of DCM from autosomal genes that show sex differences in clinical presentation is crucial for informed family management. © 2023 American Heart Association, Inc.
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